Evidence map›Paper›PMID 41102614›Full record

ArticleThe Journal of infectious diseases2025

Modeling Influenza Antiviral Strategies: Reducing Burden and Preventing Resistance.

Remy Pasco, Frederick G Hayden, Lauren Ancel Meyers

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Remy PascoIntegrative Biology, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-9321-6876
Frederick G HaydenDepartment of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.ORCID 0000-0001-8707-0375
Lauren Ancel MeyersIntegrative Biology, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-5828-8874

Funding

Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial dataR01AI151176 · NIAID · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2020 to 2024
$3.9M
Centers for Disease Control and Prevention Foundation U01IP001136NIH HHS R01 AI151176
6 · The paper itself

Abstract

Annually, influenza epidemics lead to hundreds of thousands of deaths worldwide many more hospitalizations. The antivirals baloxavir and oseltamivir improve outcomes and limit virus spread, but their widespread use may accelerate the emergence of drug-resistant influenza variants, particularly in young children. Using a data-driven model, we assess various age-stratified antiviral treatment strategies, in terms of reducing both illness and the risk of resistance. In a typical influenza season in the United States, administering baloxavir to 20% of symptomatic individuals >5 years old would be expected to reduce the median disability-adjusted life-years (DALYs) lost by 32.3%, but with a 26.4% risk of resistance transmitting widely. If those patients instead received oseltamivir, DALYs lost would decrease by 19.5%, with only a 5.4% chance of widespread resistance. Strategies such as suspending baloxavir use on detection of resistance or administering combination baloxavir-oseltamivir therapy could further mitigate these risks. For example, treating the same patient population with combination therapy would achieve a 33.5% reduction in DALYs lost, with a 10.2% likelihood of baloxavir resistance emergence and community transmission.

Indexed as

Antiviral AgentsDrug Resistance, ViralInfluenza, HumanAdolescentAdultAgedChildChild, PreschoolDibenzothiepinsHumansInfantMiddle AgedMorpholinesOseltamivirOxazolesPyridinesAntiviral AgentsbaloxavirDibenzothiepinsMorpholinesOseltamivirOxazolesPyridinesPyridonesThiepinsTriazinesantiviraldrug resistanceinfectious diseasesinfluenzapublic health

Identifiers

PMID41102614
PMCPMC12530949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.